Visual-first · senior to principal
The ML Interview Field Guide
See the state, decision, and tradeoff behind senior ML interview answers.
Choose the shortest route from what you already know.
You do not need to read the library front to back.
Active interview loop? Build a private plan from your role, rounds, available time, and recent evidence. It stays in this browser.
10 books, ordered from foundations to interview execution.
Open a shelf, then choose a book or start its first visual.
Core MLBuild the technical base used across applied, research, and engineering interviews.+
- I
ML foundations
Math, probability, classical machine learning, deep learning, and the core questions that test them.
9 chapters · 62 entries - II
Model training and research
Optimization, reliable experiments, implementation, debugging, and research judgment.
9 chapters · 52 entries - III
Evaluation and product ML
Metrics, experimental validity, calibration, product decisions, and production evaluation.
4 chapters · 25 entries
Frontier AI systemsStudy language models, post-training, agents, accelerators, and distributed systems.+
- IV
LLMs, agents, and post-training
Transformer internals, inference, retrieval, evaluation, agents, alignment, and post-training.
7 chapters · 42 entries - V
ML systems and infrastructure
Accelerators, distributed training, inference systems, reliability, cost, and full ML architecture.
6 chapters · 30 entries
Specialist tracksAdd only the specialist subject required by the role and team.+
- VI
Retrieval, ranking, and recommendations
Embeddings, candidate generation, ranking, search metrics, cold start, and feedback loops.
4 chapters · 23 entries - VII
Reinforcement learning and robotics
Sequential decisions, value and policy methods, environments, rewards, and robotics policy learning.
3 chapters · 13 entries - VIII
Vision, language, and speech
Visual models, multimodal systems, sequence modeling, natural language, and speech.
4 chapters · 21 entries
Interview executionPrepare role choice, project evidence, behavioral judgment, and senior-level communication.+
- IX
Interview and career practice
Role choice, level calibration, project stories, behavioral judgment, and long-form field guides.
3 chapters · 15 entries - X
Coding interview practice
A visual-first coding field guide for data structures, algorithms, and practical AI coding. Learn each problem by seeing the state it preserves, the move it makes, and the invariant that makes the move safe.
11 chapters · 107 entries
Specific, current, and honest about scope.
Written by Hamidreza Saghir, Principal Applied Scientist at Microsoft, with earlier ML engineering, applied-science, and research roles at X, Amazon, and Borealis AI. The site uses public process evidence, never leaked prompts or job-outcome promises. About the author and project.